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With the development of geographic simulation methods in recent decades, a great deal of resources have accumulated to support their implementation. These resources can be divided into model resources for analyzing or predicting geographic phenomena or processes, data resources for representing the characteristics of real or simulated environment, and computing resources for supporting simulation tasks. These resources are characterized by geospatial distribution and are difficult to discover and reuse. OpenGMS has carried out a series of fundamental research to sharing and collaborating distributed resources on the web. On this basis, this paper presents the concept of the OpenGMS open portal. The portal adopts FAIR principles and supports resources sharing and reuse to facilitate collaboration and exchange between resource contributors and users. This paper takes applications of the portal in resource sharing and reuse case and online training courses as examples to illustrate how the portal can bridge contributors and users of resources. • The portal adopts FAIR principles and is integrated into OpenGMS platform. • The functional design for resource contributors and users is presented. • The portal attracts many users and amasses lots of geographic simulation resources. • The portal assists in model sharing and reuse among researchers in cyberspace. [ABSTRACT FROM AUTHOR]

As the basic unit of social governance grid in China, urban community plays an active and important role in the promotion of comprehensive ability of social governance in China while the intelligent management of human resources within community management organizations and the effective integration of external human resources plays a decisive role in improving the overall level of social governance. This paper analyzes the three problems of human resource management in urban community under conditions of normalized epidemic prevention and control, such as unreasonable personnel allocation, large internal consumption of human resources, less strength of personnel reserve, weak integration ability, imperfect supervision mechanism and insufficient human resource incentive mechanism. It is concluded that only by adhering to the thinking of intelligent guidance, technology empowerment and information platform, can the community effectively promote the modernization of social governance. [ABSTRACT FROM AUTHOR]

Extreme heat events are the deadliest weather-related event in the United States. Cities throughout the United States have worked to develop heat adaptation strategies to limit the impact of extreme heat on vulnerable populations. However, the COVID-19 pandemic presented unprecedented challenges to local governments. This paper provides a preliminary review of strategies and interventions used to manage compound COVID-19-extreme heat events in the 25 most populous cities of the United States. Heat adaptation strategies employed prior to the COVID-19 pandemic were not adequate to meet during the co-occurring compound hazard of COVID-19-EHE. Long-term climate-adaptation strategies will require leveraging physical, financial, and community resources across multiple city departments to meet the needs of compound hazards, such as COVID-19 and extreme heat. • Cities faced compound crises of COVID-19 and extreme heat in 2020. • 2020 heat response plans analyzed for 25 largest US cities. • Public health and financial limitations significantly reduced cooling access. • Record breaking temperatures left many vulnerable to heat illness and death. • Adaptation and mitigation strategies are needed to manage compound heat events. [ABSTRACT FROM AUTHOR]

Community-based natural resource management (CBNRM) has the potential to conserve resources while simultaneously empowering traditionally marginalized communities. Because classical equation-based modeling methods fail to capture the complexity of CBNRM, Agent-Based Modeling (ABM) has emerged as a useful method for modeling these systems. In this paper, we begin with a careful evaluation and sensitivity analysis of an existing ABM of community forest management that incorporates cheating and enforcement which we call the Cheating and Enforcement model. Our results reveal several emergent behaviors of the model that are paradoxical or inconsistent with real-world expectations. We then introduce the Monitoring and Sanctioning model which makes several modifications to the cheating and enforcement mechanisms of the original ABM. Analyzing this new model, we see that it does not exhibit several of the more unusual behaviors of the original model and reveals surprising consistency with real-world CBNRM systems. Finally, we discuss some limitations of this new model and potential areas of further improvement. • Cheating and Enforcement (C&E) model removes cheaters from agent-based simulations. • Removing cheaters leads to paradoxical emergent behaviors. • Monitoring and Sanctioning model (M&S) uses graduated sanctions for enforcement. • M&S model exhibits emergent behaviors in line with existing literature. • Monitoring, sanctioning, and institutions all impact biomass in the M&S model. [ABSTRACT FROM AUTHOR]

The ATerm Library is a well-designed and well-known library in the term rewriting community. In this paper, we discuss the current garbage collector provided with the library and stress the fact that some peculiarities of this functional library could be taken advantage of by the memory management system. We explain how we designed and implemented GC2, a new mark-and-sweep generational garbage collector for the ATerm Library that builds upon these peculiarities. Experimental results on various programs validate our approach, and show that the performance of our new algorithm is very good. [Copyright &y& Elsevier]